Lea Schönherr

Orcid: 0000-0003-3779-7781

According to our database¹, Lea Schönherr authored at least 32 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors.

[BibT_eX]

[DOI]

CoRR, 2024

Prompt Obfuscation for Large Language Models.

[BibT_eX]

[DOI]

David Pape

Thorsten Eisenhofer

Lea Schönherr

CoRR, 2024

HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data.

[BibT_eX]

[DOI]

CoRR, 2024

Rag and Roll: An End-to-End Evaluation of Indirect Prompt Manipulations in LLM-based Application Frameworks.

[BibT_eX]

[DOI]

Gianluca De Stefano

Lea Schönherr

Giancarlo Pellegrino

CoRR, 2024

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition.

[BibT_eX]

[DOI]

CoRR, 2024

Whispers in the Machine: Confidentiality in LLM-integrated Systems.

[BibT_eX]

[DOI]

CoRR, 2024

σ-zero: Gradient-based Optimization of 𝓁<sub>0</sub>-norm Adversarial Examples.

[BibT_eX]

[DOI]

Antonio Emanuele Cinà

CoRR, 2024

The Imitation Game: Exploring Brand Impersonation Attacks on Social Media Platforms.

[BibT_eX]

[DOI]

Antonio Emanuele Cinà

Lea Schönherr

Thorsten Holz

Proceedings of the 33rd USENIX Security Symposium, 2024

A Representative Study on Human Detection of Artificially Generated Media Across Countries.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams.

[BibT_eX]

[DOI]

Bhupendra Acharya

Muhammad Saad

Antonio Emanuele Cinà

Proceedings of the IEEE Symposium on Security and Privacy, 2024

CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

2023

LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games.

[BibT_eX]

[DOI]

CoRR, 2023

Systematically Finding Security Vulnerabilities in Black-Box Code Generation Models.

[BibT_eX]

[DOI]

CoRR, 2023

Venomave: Targeted Poisoning Against Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Drone Security and the Mysterious Case of DJI's DroneID.

[BibT_eX]

[DOI]

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

On the Limitations of Model Stealing with Uncertainty Quantification Models.

[BibT_eX]

[DOI]

David Pape

Sina Däubener

Thorsten Eisenhofer

Antonio Emanuele Cinà

Lea Schönherr

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Exploring accidental triggers of smart speakers.

[BibT_eX]

[DOI]

Comput. Speech Lang., 2022

Clustering-based Wake Word Detection in Privacy-aware Acoustic Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Adversarially robust speech and speaker recognition.

[BibT_eX]

[DOI]

Lea Schönherr

PhD thesis, 2021

Dompteur: Taming Audio Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 30th USENIX Security Symposium, 2021

WaveFake: A Data Set to Facilitate Audio Deepfake Detection.

[BibT_eX]

[DOI]

Joel Frank

Lea Schönherr

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification.

[BibT_eX]

[DOI]

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

VENOMAVE: Clean-Label Poisoning Against Speech Recognition.

[BibT_eX]

[DOI]

CoRR, 2020

Unacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers.

[BibT_eX]

[DOI]

CoRR, 2020

Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Loss Functions for Deep Monaural Speech Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Leveraging Frequency Analysis for Deep Fake Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems.

[BibT_eX]

[DOI]

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019

Robust Over-the-Air Adversarial Examples Against Automatic Speech Recognition Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

2017

Spoofing detection via simultaneous verification of audio-visual synchronicity and transcription.

[BibT_eX]

[DOI]

Lea Schonherr

Steffen Zeiler

Dorothea Kolossa

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

Environmentally robust audio-visual speaker identification.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Lea Schönherr

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